GDP_Data2 <- read.csv('GDP.csv',header = TRUE)
summary(GDP_Data2)
## Year China Germany
## Min. :1960 Min. :4.721e+10 Min. :2.150e+11
## 1st Qu.:1974 1st Qu.:1.455e+11 1st Qu.:7.722e+11
## Median :1988 Median :3.301e+11 Median :2.010e+12
## Mean :1988 Mean :1.970e+12 Mean :1.940e+12
## 3rd Qu.:2003 3rd Qu.:1.613e+12 3rd Qu.:2.897e+12
## Max. :2017 Max. :1.224e+13 Max. :3.891e+12
## NA's :10
## France United.Kingdom India
## Min. :6.265e+10 Min. :7.233e+10 Min. :3.654e+10
## 1st Qu.:3.044e+11 1st Qu.:2.128e+11 1st Qu.:9.742e+10
## Median :1.022e+12 Median :9.185e+11 Median :2.754e+11
## Mean :1.176e+12 Mean :1.163e+12 Mean :5.458e+11
## 3rd Qu.:1.782e+12 3rd Qu.:1.971e+12 3rd Qu.:5.767e+11
## Max. :2.918e+12 Max. :3.074e+12 Max. :2.597e+12
##
## Japan United.States
## Min. :4.431e+10 Min. :5.430e+11
## 1st Qu.:4.901e+11 1st Qu.:1.585e+12
## Median :3.063e+12 Median :5.455e+12
## Mean :2.705e+12 Mean :6.993e+12
## 3rd Qu.:4.707e+12 3rd Qu.:1.138e+13
## Max. :6.203e+12 Max. :1.940e+13
##